Using machine learning to detect epilepsy in children

Artificial intelligence has been making impressive strides in the past year or so, with a number of medical applications utilizing AI to spot problems in medical imagery more effectively and efficiently than current methods.

For instance, we’ve had a couple of projects using the approach to better identify cancer, eye problems, and liver disease.

A recent study has set out to do a similar feat to help researchers detect epilepsy in children.  The research, which was a collaborative project between Young Epilepsy, UCL Great Ormond Street Institute of Child Health and the University of Cambridge, focused on Focal Cortical Dysplasia, which is a major cause of epilepsy in children.  It describes the way the brain fails to form normally, and because the abnormalities tend to be small, they tend to be very difficult to pick up on MRI scans.

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